Howtosignalprocessing
- Why is SSIM better than MSE?
- What is SSIM in image processing?
- Can SSIM be negative?
- What is the difference between Psnr and SSIM?
Why is SSIM better than MSE?
MSE will calculate the mean square error between each pixels for the two images we are comparing. Whereas SSIM will do the opposite and look for similarities within pixels; i.e. if the pixels in the two images line up and or have similar pixel density values.
What is SSIM in image processing?
Introduction — The Structural Similarity Index (SSIM) is a perceptual metric that quantifies image quality degradation* caused by processing such as data compression or by losses in data transmission.
Can SSIM be negative?
Edit: As I mentioned in the comments SSIM can be negative, and it is caused by the covarience of the two images that can be negative. In the Skimage SSIM source code, Covarience of the two images is represented by vxy, and it can be negative in some cases.
What is the difference between Psnr and SSIM?
PSNR is used earlier than SSIM, is easy, has been widely used in various digital image measurements, and has been considered tested and valid. SSIM is a newer measurement tool that is designed based on three factors i.e. luminance, contrast, and structure to better suit the workings of the human visual system.
